Lu Jia-Hao, Ding Siqi, Ni Yi-Qing, Li Shu
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch), Hong Kong, China.
Commun Eng. 2025 Jul 29;4(1):136. doi: 10.1038/s44172-025-00470-x.
Acoustic metamaterials (AMMs) represent a transformative approach to sound manipulation, capable of controlling acoustic waves in ways that are not possible with traditional materials. These materials, often inspired by biological structures, leverage complex geometries and innovative designs to enhance sound absorption and control. This review outlines the fundamentals of bio-inspired AMMs, discusses their design and performance characteristics, and highlights the challenges in translating these innovations into practical applications. We also explore the integration of machine learning (ML) techniques with bio-inspired design to optimize AMM for practical implementation. Finally, we propose future research directions aimed at developing broadband AMMs that effectively address the pressing issue of traffic noise, thereby enhancing the overall efficacy of noise control solutions.
声学超材料（AMMs）代表了一种变革性的声音操控方法，能够以传统材料无法实现的方式控制声波。这些材料通常受生物结构启发，利用复杂的几何形状和创新设计来增强吸声和控制效果。本综述概述了受生物启发的声学超材料的基本原理，讨论了它们的设计和性能特征，并强调了将这些创新转化为实际应用所面临的挑战。我们还探讨了机器学习（ML）技术与受生物启发的设计的整合，以优化声学超材料用于实际应用。最后，我们提出了未来的研究方向，旨在开发能够有效解决交通噪音这一紧迫问题的宽带声学超材料，从而提高噪声控制解决方案的整体效能。
